Database: MIRACLE (2023)

Subtitle: Microphone Array Impulse Response Dataset for Acoustic Learning
Cite as: Kujawski, A., Pelling, A. J. R., and Sarradj, E. (2026). "MIRACLE", The SONICOM Ecosystem: Database #98. URL: https://ecosystem.sonicom.eu/databases/98. Copy Citation to Clipboard

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  • DOI: not assigned yet
  • Uploaded by: Art J. R. Pelling ORCID: 0000-0003-3228-6069 Email address: a.pelling@tu-berlin.de
  • Date (created): 2026-09-22 10:39:22 (GMT)
  • Date (updated): 2026-09-23 17:14:32 (GMT)
  • Production Year: 2023
  • Resource Type: Dataset (SONICOM Ecosystem)
  • Rights: CC BY-NC-SA 4.0 Attribution- NonCommercial-ShareAlike
  • Subject Areas: Life Science , Other SONICOM Ecosystem
  • General Description: The dataset contains room impulse responses from a source plane to a microphone array at different distances measured in the anechoic chamber. Supplies four different scenarios, totalling 856,128 impulse responses.
  • Abstract: This work presents a large dataset of measured impulse responses of spatially distributed sources in a plane parallel to a planar microphone array in an anechoic environment. It can be used for various acoustic machine learning tasks and as a benchmark for data-driven modelling and interpolation methods.
    The dataset, which we call MIRACLE, contains a total of 856,128 single-channel impulse responses across four different measurement scenarios. A regular grid of 64 × 64 source locations was sampled for two different source plane to array distances. The dataset also contains measurements on a densely sampled 33 × 33 grid for the short distance, as well as measurements with the presence of a reflective panel for the longer distance. We assess the quality of the provided source location labels and provide directivity measurements of the loudspeaker used for excitation.
  • Data Source: acoustically measured

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Uploaded by: Art J. R. Pelling
Created: 2026-09-22 10:39:22
Updated: 2026-09-23 17:14:32